Automatic dividing method of ultrasound carotid artery vascular membrane

An automatic segmentation and carotid artery technology, applied in the intersection of computer technology and medical images, can solve the problem of manual intervention

Active Publication Date: 2012-11-28
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

This method requires the operator to manually give the initial contour on each frame of the image, or give more initial points to form the initial contour, there is more manual intervention, and there is still a lot of room for improvement

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  • Automatic dividing method of ultrasound carotid artery vascular membrane
  • Automatic dividing method of ultrasound carotid artery vascular membrane
  • Automatic dividing method of ultrasound carotid artery vascular membrane

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Experimental program
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Embodiment Construction

[0054] The present invention will be further described in detail below in conjunction with the drawings and embodiments.

[0055] The computer automatic segmentation algorithm of the carotid artery inner and outer contours and plaques in the ultrasound image provided by the present invention has the following steps:

[0056] (1) Determine the reference contour:

[0057] Load a set of carotid artery 3D ultrasound volume data of a case in the computer, such as figure 2 Shown. The computer automatically adjusts the voxel and volume according to the size of the voxel (mm 3 )proportion. The segmentation object of the present invention is each frame of carotid artery three-dimensional ultrasound volume data. If the current frame image is the first frame of carotid artery 3D ultrasound volume data, the approximate position of the outer contour is judged based on experience, and several more obvious reference points located on the outer contour of the blood vessel are drawn, and then form...

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Abstract

The invention belongs to the field of intersection of a computer technology and medical images, and in particular relates to an automatic dividing method of internal and external profiles in the cross section direction of an ultrasound image carotid artery blood vessel. The method specifically comprises the following steps of: selecting the current frame image; manually defining a reference profile point and interpolating to form a reference profile; extrapolating the reference profile to form a first interested area; automatically detecting a carotid artery profile: searching a radial gradient maximum point on a polar coordinate image obtained through conversion in a first interested area as the initial external profile point, estimating the gray probability density distribution in the first interested area by using mixed distribution, carrying out level set evolution to obtain the external profile, interpolating the external profile to form an initial internal profile and carrying out level set evolution to obtain an internal profile. By adopting the method, ultrasound carotid artery images can be effectively divided, and the workload of doctors can be reduced; and besides, the carotid artery internal and external profiles obtained through division in the method can be used for calculating the size of the carotid artery blood vessel wall and providing accurate and effective information for research of carotid atherosclerosis.

Description

Technical field [0001] The invention belongs to the cross-field of computer technology and medical images, and particularly relates to an automatic segmentation method of the inner and outer membranes in the cross-sectional direction of the carotid artery in an ultrasound image. Background technique [0002] Cardiovascular and cerebrovascular diseases are important diseases that endanger human health and cause death, such as myocardial infarction and stroke. The main cause is carotid atherosclerosis. Compared with the traditional Intima-Media Thickness (IMT) metrics, the Vessel Wall Volume (VWV) and other metrics can more accurately and intuitively reflect the status of atherosclerosis, so it has become a forecast in recent years. One of the important indicators of the risk of cardiovascular and cerebrovascular diseases. [0003] The volume of the vessel wall can be measured on the ultrasound carotid artery image according to the Lumen-Intima Boundary (LIB) and Media-Adventitia Bo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 丁明跃李鹤程洁玉杨鑫
Owner HUAZHONG UNIV OF SCI & TECH
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